Hi, I am conducting a resting state functional connectivity analysis and I am about to use 3dTcorr1d to correlate a seed’s signal with the rest of the brain. Is there any information available for how choosing -pearson vs -spearman, -ktaub or -quadrant would affect my results?
I’d appreciate any insight!
Josh
For almost any purpose, Pearson correlation is what you want. The others are experimental.
Spearman would be used if you expect a lot of outliers. Usually it will be almost identical to Pearson.
Taub’s k is really useful only when the data consists of a few levels (such a numbers 1, 2, 3, 4, or 5), not a continuously variable value.
Quadrant correlation is never useful, and is there just for fun fun fun in the sun sun sun.
That’s all I needed to know! Thanks.
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